Integration of audio and video semantic features for news video scene segmentation

Jun Xu; Huayong Liu; Hongbin Hu; Dongru Zhou

doi:10.1117/12.441562

25 September 2001 Integration of audio and video semantic features for news video scene segmentation

Jun Xu, Huayong Liu, Hongbin Hu, Dongru Zhou

Proceedings Volume 4553, Visualization and Optimization Techniques; (2001) https://doi.org/10.1117/12.441562
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

With the wide application of digital video, video database system has been an important direction in multimedia domain. In the field of video database research, segmentation of a video scene has been an important problem hard to solve. This paper begins with analyzing the structural features of news video and then introduces a new method for scene segmentation based extracting the semantic features. In this method extraction and analysis for shot change, anchorperson shot, topic caption and silence interval in audio and video stream are carried out to realize news video scene segmentation. It can be seen from the result of experimentation that the correctness to segmentation rate is up to 86.9 percent with the application of the method mentioned above. Hence, the method is a satisfied solution for the news video scene segmentation.

Citation Download Citation

Jun Xu, Huayong Liu, Hongbin Hu, and Dongru Zhou "Integration of audio and video semantic features for news video scene segmentation", Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); https://doi.org/10.1117/12.441562

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